A filled function method dominated by filter for nonlinearly global optimization

DOI10.1155/2015/245427zbMath1435.90133OpenAlexW2032350042WikidataQ59111662 ScholiaQ59111662MaRDI QIDQ1756190

Xiaoshan Zhang, Wei Wang, Min Li

Publication date: 14 January 2019

Published in: Journal of Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/245427

Mathematics Subject Classification ID

Numerical mathematical programming methods (65K05) Nonconvex programming, global optimization (90C26) Nonlinear programming (90C30)

Cites Work

• A new filled function method for an unconstrained nonlinear equation
• A class of filled functions for finding global minimizers of a function of several variables
• Handbook of test problems in local and global optimization
• A generalized gradient projection filter algorithm for inequality constrained optimization
• The globally convexized filled functions for global optimization
• A new discrete filled function method for finding global minimizer of the integer programming
• A filled function method for global optimization
• Simple transformation functions for finding better minima
• A new auxiliary function method for systems of nonlinear equations
• On the Global Convergence of a Filter--SQP Algorithm
• Line Search Filter Methods for Nonlinear Programming: Local Convergence
• A new filled function method for global optimization
• Nonlinear programming without a penalty function.

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